{"id":3521675,"url":"https://alion.io/job/spade-data-scientist-aiml-mid-sr-levels","title":"Data Scientist - AI/ML (Mid & Sr Levels)","company":{"id":1809470,"name":"Spade","domain":"spade.com","url":"https://alion.io/company/spade-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"closed","first_seen_at":"2026-10-30T11:21:25Z","employer_posted_date":null,"last_verified_at":"2026-10-30T18:20:30Z","board_verified":false,"closed_at":"2026-10-30T18:20:30Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Spade is a data and AI platform that structures and verifies transaction data for financial institutions and fintech companies. The Data Scientist will build and deploy real-time machine learning and AI systems, develop data-quality models and pipelines, and collaborate with engineering, product, and leadership to improve customer-facing products. Senior-level responsibilities additionally include shaping team roadmaps and mentoring data scientists.\n\nResponsibilities\nOwn the full lifecycle of ML/AI products. From first prototype to production system serving real customers\nBuild the automated systems behind Spade's data quality. The models and pipelines that keep our accuracy and coverage ahead of the market\nSet the bar for how ML gets built here. Pushing for models that are not just accurate, but scalable, robust, and production-ready from day one\nHelp shape where the data science team goes next. Partnering directly with leadership on roadmap and priorities •(Senior role)•\nGrow the team around you. Mentoring other data scientists and raising the practices we build on •(Senior role)•\n\nSkills\n3+ years building and shipping models in Python, in a fast-paced environment (5+ for senior)\nWorked hands-on with engineering and product, not just in a research silo\nStrong ML, stats, and data fundamentals (PySpark, pandas, SQL)\nA product mindset — you navigate ambiguity and optimize for customer value, not just model accuracy\nA collaborative streak — you take feedback well and care about the team's success, not just your own\nAn AI-forward workflow — coding assistants and LLMs are part of how you already work, and you're excited to push further\n5+ years, with end-to-end ownership of ML/AI products from idea to production\nShipped ML/AI-powered products, ideally customer-facing\nA track record of mentoring and raising team standards\nDatabricks, data pipelines, Hex\nGen AI feature/product development\nFintech experience — especially transaction, merchant, or location data\nEarly-stage, high-growth startup experience\n\nBenefits\nMeaningful equity, with flexibility for early exercise and an extended post-termination options period.\n100% paid medical, mental, dental, and vision premium option plus One Medical membership for US-based employees.\n401(k).\nPaid parental leave: 12 weeks of full pay for parents welcoming a new child into their home.\nUnlimited PTO.\nFlexible in-person culture: NYC HQ is hybrid and dog-friendly, with remote opportunities for certain roles in the US/Canada.\nGenerous work-from-home stipend.\nCompany-paid lunches.\nCitibike membership\n\nCompany Overview\nSpade is a data and AI platform that turns messy transaction data into structured, verified records and gives teams the tools to act on it. It was founded in 2021, and is headquartered in New York, New York, USA, with a workforce of 11-50 employees. Its website is https://www.spade.com.\n\nCompany H1B Sponsorship\nSpade has a track record of offering H1B sponsorships, with 2 in 2026, 1 in 2024, 1 in 2023, 1 in 2022. 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